External data becomes risky when it is treated as automatically trustworthy. A better pattern is to make each handoff observable: check the source, isolate the change, and declare the interface an agent may use.
1. Establish a source boundary
Record provenance and policy status before a feed is reused. The Public Source Health Badge API is for making that first check visible to the team that owns the workflow.
2. Turn feed changes into a review event
A new extract should not silently overwrite the previous one. Compare rows and schemas first, then route material changes to the right owner. Dataset Diff Engine v2 is built for that bounded comparison step.
3. Keep the agent-facing interface deliberate
When a tool is exposed to an agent, the manifest is part of the operational boundary. Generate the initial MCP shape from an API definition, then review it before use. Get the OpenAPI-to-MCP Manifest Generator API here.
The goal is not to add friction for its own sake. It is to make a bad source, unexpected delta, or over-broad tool easier to catch before it becomes downstream behavior.
Top comments (0)